Return code: 0
Duration: 125.9s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: defining function on_model()
  python_exec: defining function on_model()
  python_exec: solution_flows = [
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'Task completed succe...

Perfect! I have successfully completed the task.                                


                                    Summary                                     

I've implemented a maximum flow problem solver using Answer Set Programming     
(ASP) with the clingo Python API. The solution:                                 

 1 Models the network flow problem with 8 nodes, 10 edges, each having capacity,
   cost, and type (standard/premium)                                            
 2 Enforces all constraints:                                                    
    • Capacity limits on each edge                                              
    • Flow conservation at intermediate nodes                                   
    • Budget constraint (total cost ≤ 100)                                      
    • Priority node rule (nodes 3 and 5 require ≥75% premium outflow)           
    • Flow balancing (standard flow ≥ 50% of premium flow)                      
 3 Maximizes the total flow from source (node 1) to sink (node 8)               
 4 Achieves the expected result: Maximum flow of 12 units with a total cost of  
   97 (within the budget of 100)                                                

The solution has been saved to 031_network_flow_hard_task_code.py and produces  
the correct JSON output format with the maximum flow value and detailed flow    
information for each edge.                                                      

==================================================
📊 Execution Statistics
==================================================

🔧 Tool Usage:
  python_exec            3 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        138,563
  Output tokens:       6,857
  Total tokens:        145,420

⏱️  Execution time: 2m 4.5s
==================================================


=== STDERR ===
#models not 0: optimality of last model not guaranteed.
